76 to 100 of 702 R Jobs in England

working in Agile teams A passion for data and a collaborative approach to problem-solving Bonus: Exposure to AWS (e.g. S3, Lambda), Python or R, or tools like Amazon QuickSight or ThoughtSpot Familiarity with big data tools and data governance frameworks If you’re on the market for a new More ❯

working in Agile teams A passion for data and a collaborative approach to problem-solving Bonus: Exposure to AWS (e.g. S3, Lambda), Python or R, or tools like Amazon QuickSight or ThoughtSpot Familiarity with big data tools and data governance frameworks If you’re on the market for a new More ❯

2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience More ❯

e.g. Kimball method) Proficiency with data visualization tools (e.g., Power BI, Tableau) and scripting languages (e.g., Python). Knowledge of the likes of SQL, R, Juypter notebooks and Streamlit Understanding of data governance and metadata standards Other information: This role is hybrid, with 3 days a week in our Fleet More ❯

Ability to provide visibility of the progress of tasks to the team by means of small deliverables. Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience More ❯

predictive modelling, and optimisation algorithms. · Familiarity with Microsoft Excel is essential, and knowledge of other tools and techniques such as MS SQL Server, Python, R, Microsoft Power BI, Linear programming and other optimisation techniques and technologies will be a further advantage. · Excellent communication and interpersonal skills, with the ability to More ❯

predictive modelling, and optimisation algorithms. · Familiarity with Microsoft Excel is essential, and knowledge of other tools and techniques such as MS SQL Server, Python, R, Microsoft Power BI, Linear programming and other optimisation techniques and technologies will be a further advantage. · Excellent communication and interpersonal skills, with the ability to More ❯

successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Learning Provider QA LIMITED Skills Required Communication skills, Attention to detail, Organisation skills, Team working, Non-judgemental More ❯

or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED More ❯

capabilities, then develop new architectures only where needed. Key skills Technical Skills : You should be highly proficient with programming languages such as Python/R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data More ❯

ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯

ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯

ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯

Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

market trends Eligibility Criteria You'll need to be able to demonstrate the following: Experience and Skills Strong technical skills including SQL, Python/R, and data visualisation tools. We are open to exploring and incorporating other relevant tools and technologies as needed Excellent communication skills with the ability to More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯